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Çevrimiçi Puanlamaların Tavsiye Niyeti Üzerindeki Etkisi: Konaklama İşletmeleri Üzerine Bir Çalışma

Year 2025, Volume: 22 Issue: 1, 253 - 269, 27.03.2025
https://doi.org/10.24010/soid.1616329

Abstract

Turistik ürün satın alımlarında bilgi arama, alternatifleri belirleme ve satın alma süreçlerinin büyük oranda internet üzerinden yürütüldüğü görülmektedir. Bu süreçlerde tüketici kaynaklı bilgilerin potansiyel tüketicilerin kararları üzerinde etkili olduğu birçok çalışma tarafından kanıtlanmıştır. Buna karşın bu tür veri kaynaklarını kullanarak tüketici davranışlarını değerlendiren çok az sayıda çalışma bulunmaktadır. Bu çalışma, Türkiye’deki kıyı turizmi destinasyonlarında faaliyet gösteren oteller için online platformlardaki müşteri puanlamalarının otel tavsiye etme niyetleri üzerindeki etkisini araştırmaktadır. Çalışmada, otelpuan.com sitesinden alınan veriler üzerinde çoklu regresyon analizi uygulanmıştır. Analiz sonuçları, hizmet, fiyat/performans, oda ve yemek kriterlerinin tavsiye niyeti üzerinde anlamlı etkileri olduğunu, ancak yüzme kriterinin etkili olmadığını göstermektedir. Bu bulgular, tüketicilerin otel tavsiye niyeti üzerinde etkili olan temel unsurların belirlenmesine ve otel yöneticilerinin stratejik planlamalarına rehberlik etmektedir.

Ethical Statement

Çalışmada ikincil veri kaynakları kullanıldığından dolayı etik kurul izni gerekmemektedir.

References

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  • Akhtar, N., Ahmad, W., Siddiqi, U. I., ve Akhtar, M. N. (2019). Predictors and outcomes of consumer deception in hotel reviews: The roles of reviewer type and attribution of service failure. Journal of Hospitality and Tourism Management, 39(2019), 65–75. https://doi.org/10.1016/J.JHTM.2019.03.004
  • Amaro, S. ve Duarte P. (2015). An integrative model of consumers’ intentions to purchase travel online. Tourism Management, (46), 64‒79.
  • Anderson, C. K. (2012). The impact of social media on lodging performance. Center for Hospitality Research Report. 12(15). Cornell University.
  • Bakhshi, S., Kanuparthy, P. ve Gilbert, É. (2014). Demographics, weather and online reviews. Proceedings of the 23rd International Conference on World Wide Web, 443-454. https://doi.org/10.1145/2566486.2568021.
  • Balouchi, M., Aziz, Y., A., Rahman, A., Hasangholipour, T., Khanlari, A., Rahmani A., A. ve Raja-Yusof, R., N. (2017). Explaining and predicting online tourists’ behavioural intention in accepting consumer generated contents. Journal of Hospitality and Tourism Technology, 8(2), 168-189.
  • Bi, J., Liu, Y., Fan, Z., ve Zhang, J. (2020). Exploring asymmetric effects of attribute performance on customer satisfaction in the hotel industry. Tourism Management, 77, 104006. https://doi.org/10.1016/j.tourman.2019.104006
  • Bigne, E., Chatzipanagiotou, K., ve Ruiz, K. (2020). Pictorial content, sequence of conflicting online reviews and consumer decision-making: The stimulus-organism-response model revisited. Journal of Business Research, 115(2020), 403–416. https://doi.org/10.1016/J.JBUSRES.2019.11.031
  • Bilgihan, A. (2012). The role of flow in creatıng e-loyalty: the case of online hotel booking websites. Doctor of Philosophy Dissertation, University of Central Florida, Orlando, Florida.
  • Chin, W. W. (1998). Issues and opinions on structural equation modelling. MIS Quarterly, 22(1), 7–16.
  • Dara, S. (2016). What Makes Reviews Trustworthy? An İnvestigation Of User Trust İn Online Reviews When Making Purchase Decisions. (Unpublished Post-Doctoral thesis), City University of London.
  • Doğan, S., Özkul, E. ve Kaya, G. Ç. (2022). Investigating which services are effective on recommendation of the airline companies. Advances in Hospitality and Tourism Research, 10(1), 109-129. https://doi.org/10.30519/ahtr.915136
  • Filieri, R., McLeay, F. Tsui, B. ve Lin, Z. (2018). Consumer perceptions of information helpfulness and determinants of purchase intention in online consumer reviews of services. Information & Management, 55(2018), 956-970.
  • Glaveli, Ν., Manolitzas, P., Παλαμάς, Σ., Grigoroudis, E. ve Zopounidis, C. (2022). Developing effective strategic decision-making in the areas of hotel quality management and customer satisfaction from online ratings. Current Issues in Tourism, 26(6), 1003-1021. https://doi.org/10.1080/13683500.2022.2048805
  • Godnov, U. ve Redek, T. (2016). Application of text mining in tourism: Case of Croatia. Annals of Tourism Research, 58(2016), 156–170.
  • Guo, Y., Barnes, S., J. ve Jia, Q. (2017). Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation. Tourism Management, 59(2017), 467-483.
  • Heyne, L. (2009). Electronic Word of Mouth - A New Marketing Tool? Düsseldorf: University of Applied Sciences in Neuss Master Thesis.
  • Hong, H., Xu D., Wang, G. A. ve Fan, W. (2017). Understanding the determinants of online review helpfulness: A meta-analytic investigation. Decision Support Systems, 102(2017), 1–11.
  • Hong, S., ve Pittman, M. (2020). eWOM anatomy of online product reviews: interaction effects of review number, valence, and star ratings on perceived credibility. International Journal of Advertising, 39(7), 892-920.
  • Hu, Y. H. ve Chen, K. (2016). Predicting hotel review helpfulness: The impact of review visibility and interaction between hotel stars and review ratings. International Journal of Information Management, 36(2016): 929–944.
  • İslamoğlu, A. H. ve Alnıaçık, Ü. (2019). Sosyal Bilimlerde Araştırma Yöntemleri (6.Baskı). İstanbul: Beta Basım A. Ş.
  • Kontis, A. P. ve Skoultsos, S. (2022). Digital evolution in tourism marketing channels: Greek tourism industry and online travel agencies. European Journal of Tourism Research, 30(3004), 1–17. https://doi.org/10.54055/EJTR.V30I.2591
  • Khorsand, R., Rafiee, M. ve Kayvanfar, V. (2020). Insights into tripadvisor's online reviews: the case of tehran's hotels. Tourism Management Perspectives, 34, 100673. https://doi.org/10.1016/j.tmp.2020.100673
  • Kutner, M. H., Nachtsheim, C. J., Neter, J. ve Li, W. (2004). Applied linear statistical models (5th ed.). McGraw-Hill.
  • Kültür ve Turizm Bakanlığı (2024). Bakanlık Belgeli Tesis İstatistikleri, Erişim Tarihi: 10.12.2024, Link: https://yigm.ktb.gov.tr/TR-201136/bakanlik-belgeli-tesis-istatistikleri.html
  • Lee, P. J., Hu, Y. H. ve Lu, K. T. (2018). Assessing the helpfulness of online hotel reviews: A classification-based approach. Telematics and Informatics, 35(2018), 436–445.
  • Liang, W. J. (2013). Antecedents of Travellers' eWOM Communication. (Unpublished Doctoral thesis), Facuity of Business, Oxford Brookes University.
  • Liu, Y., Teichert, T., Rossi, M., Li, H. ve Hu, F. (2017). Big data for big insights: investigating language-specific drivers of hotel satisfaction with 412,784 user-generated reviews. Tourism Management (59), 554-563.
  • Liu, Z. ve Park, S. (2015). What Makes a Useful Online Review? Implication for Travel Product Websites. Tourism Management, 47(2015), 140-151.
  • Mancı, A. R. ve Tengilimoğlu, E. (2021). TripAdvisor ziyaretçi yorumlarının içerik analizi: Göbeklitepe örneği. Türk Turizm Araştırmaları Dergisi, 5(2), 1525-1545.
  • Manolitzas, P., Glaveli, Ν., Παλαμάς, Σ., Talias, Μ. A. ve Grigoroudis, E. (2021). Hotel guests’ demanding level and importance of attribute satisfaction ratings: an application of multiplecriteria satisfaction analysis on tripadvisor’s hotel guests ratings. Current Issues in Tourism, 25(8), 1203-1208. https://doi.org/10.1080/13683500.2021.1915253
  • Muneta, A., Elena, M. ve Andrea, O. L. (2013). ICT Impact on tourism industry. International Journal of Management Cases, 15(2), 87–98.
  • Nicolau, J. L., Mellinas, J. P. ve Martín-Fuentes, E. (2020). Satisfaction measures with monetary and non-monetary components: hotel’s overall scores. International Journal of Hospitality Management, 87, 102497. https://doi.org/10.1016/j.ijhm.2020.102497
  • Nieto-Garcia, M., Resce, G., Ishizaka, A., Occhiocupo, N. ve Viglia, G. (2019). The dimensions of hotel customer ratings that boost revpar. International Journal of Hospitality Management, (77), 583-592.
  • Nusair, K. ve Parsa, H. G. (2011). Introducing flow theory to explain the interactive online shopping experience in a travel context. International Journal of Hospitality Tourism Administration, (121), 1–20.
  • Rhee, H. T. ve Yang, S. B. (2015). Does hotel attribute importance differ by hotel? Focusing on hotel star-classifications and customers’ overall ratings. Computers in Human Behavior, (50), 576–587. https://doi.org/10.1016/j.chb.2015.02.069.
  • Schuckert, M. Liu, X. ve Law, R. (2015). Hospitality and tourism online reviews: recent trends and future directions. Journal of Travel and Tourism Marketing, 32(5), 608-621.
  • Sparks, B.A. ve Bradley, G.L. A. (2017). Triple A” typology of responding to negative consumer-generated online reviews. Journal of Hospitality Tourism Research. 2017(41), 719–745.
  • Stringam, B. B. ve Gerdes, J. Jr., (2010). An analysis of word-of-mouse ratings and guest comments of online hotel distribution sites. Journal of Hospitality Marketing & Management, 19(7), 773–796.
  • Şahin, İ., Gülmez, M. ve Kitapçı, O. (2017). E-complaint tracking and online problem-solving strategies in hospitality management. Journal of Hospitality and Tourism Technology, 8(3), 372-394. https://doi.org/10.1108/jhtt-02-2017-0009
  • Tabachnick, B. G. ve Fidell, L. S. (2007). Using Multivariate Statistics (5th ed.). Pearson, Allyn & Bacon.
  • Tengilimoğlu, E. ve Hassan, A. (2020). Applying flow theory to the online booking experience: The role of utilitarian and hedonic features. Journal of Tourismology, 1–12. https://doi.org/10.26650/jot.2020.6.1.0010
  • Tengilimoğlu, E. ve Öztürk, Y. (2021). Gezi ve i̇ş amaçlı seyahatlerde fiyat adaleti ve tüketim duygularının olumlu yorum yapma niyeti üzerine etkisi. Turk Turizm Arastirmalari Dergisi, 5(3), 1815-1832. https://doi.org/10.26677/tr1010.2021.821
  • Tengilimoğlu, E. (2024). The healing power of forgiveness: how failure severity moderates the effect of emotions on forgiveness and behavioural intentions. Journal of Tourismology, 10(2), 182-194. https://doi.org/10.26650/jot.2024.10.2.1544161
  • Tengilimoğlu, E. ve Öztürk, Y. (2024). The effects of ewom triggered service recovery on customer citizenship behavior in the hospitality industry: the moderating role of failure severity. International Journal of Tourism Research, 26(4). https://doi.org/10.1002/jtr.2673
  • Topal, M., Eyduran, E., Yağanoğlu, A. M. ve Sönmez, A. (2013). Çoklu doğrusal bağlantı durumunda ridge ve temel bileşenler regresyon analiz yöntemlerinin kullanımı. Atatürk Üniversitesi Ziraat Fakültesi Dergisi, 41(1), 53-57.
  • Tran, L. T. T. (2020). Online reviews and purchase intention: A cosmopolitanism perspective. Tourism Management Perspectives, 35(2020), 1–13. https://doi.org/10.1016/J.TMP.2020.100722
  • TripAdvisor (2016). “TripBarometer, Traveler Trends & Motivations Global Findings”.
  • Tsao, W. C. (2018). Star power: The effect of star rating on service recovery in the hotel industry. International Journal of Contemporary Hospitality Management, 30(2), 1092–1111. https://doi.org/10.1108/IJCHM-05-2016-0247
  • Wong, C. U. I. ve Qi, S. (2017). Tracking the evolution of a destination's image by text mining online reviews: The case of Macau. Tourism Management Perspectives, 23(2017), 19–29. https://doi.org/10.1016/j.tmp.2017.03.009
  • Wong, E. Y., Rasoolimanesh, S. M. ve Sharif, S. P. (2020). Using online travel agent platforms to determine factors influencing hotel guest satisfaction. Journal of Hospitality and Tourism Technology, 11(3), 425-445. https://doi.org/10.1108/jhtt-07-2019-0099
  • World Tourism Organization (2014). Online Guest Reviews and Hotel Classification Systems An Integrated Approach. URL: http://europe.unwto.org/publication/on-line-guest-reviews-and-hotel-classification-systems-integrated-approach
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The Impact of Online Ratings on Recommendation Intentions: A Study on Hospitality Industry

Year 2025, Volume: 22 Issue: 1, 253 - 269, 27.03.2025
https://doi.org/10.24010/soid.1616329

Abstract

In the purchasing of tourism products, processes such as information search, identification of alternatives, and purchasing are predominantly conducted online. Numerous studies have demonstrated that consumer-generated information significantly influences the decisions of potential consumers during these processes. However, there is a scarcity of research that evaluates consumer behavior using such data sources. This study investigates the impact of online customer ratings on hotel recommendation intentions for hotels operating in Turkey's coastal tourism destinations. Data obtained from the Otelpuan.com platform were analyzed using a multiple regression model. The results indicate that service quality, price-performance ratio, room conditions, and food quality have significant effects on recommendation intentions, whereas swimming facilities do not. These findings provide insights into the key factors influencing consumers' hotel recommendation intentions and offer guidance for hotel managers in strategic planning.

Ethical Statement

Çalışmada ikincil veri kaynakları kullanıldığından dolayı etik kurul izni gerekmemektedir.

References

  • Akgöz, E. ve Tengilimoğlu, E. (2022). Online Otel Yorumlarının Metin Madenciliği Teknikleri ile İncelenmesi: Bakü Otelleri Örneği. Selçuk Turizm ve Bilişim Araştırmaları Dergisi, 1(1), 1-8.
  • Akhtar, N., Ahmad, W., Siddiqi, U. I., ve Akhtar, M. N. (2019). Predictors and outcomes of consumer deception in hotel reviews: The roles of reviewer type and attribution of service failure. Journal of Hospitality and Tourism Management, 39(2019), 65–75. https://doi.org/10.1016/J.JHTM.2019.03.004
  • Amaro, S. ve Duarte P. (2015). An integrative model of consumers’ intentions to purchase travel online. Tourism Management, (46), 64‒79.
  • Anderson, C. K. (2012). The impact of social media on lodging performance. Center for Hospitality Research Report. 12(15). Cornell University.
  • Bakhshi, S., Kanuparthy, P. ve Gilbert, É. (2014). Demographics, weather and online reviews. Proceedings of the 23rd International Conference on World Wide Web, 443-454. https://doi.org/10.1145/2566486.2568021.
  • Balouchi, M., Aziz, Y., A., Rahman, A., Hasangholipour, T., Khanlari, A., Rahmani A., A. ve Raja-Yusof, R., N. (2017). Explaining and predicting online tourists’ behavioural intention in accepting consumer generated contents. Journal of Hospitality and Tourism Technology, 8(2), 168-189.
  • Bi, J., Liu, Y., Fan, Z., ve Zhang, J. (2020). Exploring asymmetric effects of attribute performance on customer satisfaction in the hotel industry. Tourism Management, 77, 104006. https://doi.org/10.1016/j.tourman.2019.104006
  • Bigne, E., Chatzipanagiotou, K., ve Ruiz, K. (2020). Pictorial content, sequence of conflicting online reviews and consumer decision-making: The stimulus-organism-response model revisited. Journal of Business Research, 115(2020), 403–416. https://doi.org/10.1016/J.JBUSRES.2019.11.031
  • Bilgihan, A. (2012). The role of flow in creatıng e-loyalty: the case of online hotel booking websites. Doctor of Philosophy Dissertation, University of Central Florida, Orlando, Florida.
  • Chin, W. W. (1998). Issues and opinions on structural equation modelling. MIS Quarterly, 22(1), 7–16.
  • Dara, S. (2016). What Makes Reviews Trustworthy? An İnvestigation Of User Trust İn Online Reviews When Making Purchase Decisions. (Unpublished Post-Doctoral thesis), City University of London.
  • Doğan, S., Özkul, E. ve Kaya, G. Ç. (2022). Investigating which services are effective on recommendation of the airline companies. Advances in Hospitality and Tourism Research, 10(1), 109-129. https://doi.org/10.30519/ahtr.915136
  • Filieri, R., McLeay, F. Tsui, B. ve Lin, Z. (2018). Consumer perceptions of information helpfulness and determinants of purchase intention in online consumer reviews of services. Information & Management, 55(2018), 956-970.
  • Glaveli, Ν., Manolitzas, P., Παλαμάς, Σ., Grigoroudis, E. ve Zopounidis, C. (2022). Developing effective strategic decision-making in the areas of hotel quality management and customer satisfaction from online ratings. Current Issues in Tourism, 26(6), 1003-1021. https://doi.org/10.1080/13683500.2022.2048805
  • Godnov, U. ve Redek, T. (2016). Application of text mining in tourism: Case of Croatia. Annals of Tourism Research, 58(2016), 156–170.
  • Guo, Y., Barnes, S., J. ve Jia, Q. (2017). Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation. Tourism Management, 59(2017), 467-483.
  • Heyne, L. (2009). Electronic Word of Mouth - A New Marketing Tool? Düsseldorf: University of Applied Sciences in Neuss Master Thesis.
  • Hong, H., Xu D., Wang, G. A. ve Fan, W. (2017). Understanding the determinants of online review helpfulness: A meta-analytic investigation. Decision Support Systems, 102(2017), 1–11.
  • Hong, S., ve Pittman, M. (2020). eWOM anatomy of online product reviews: interaction effects of review number, valence, and star ratings on perceived credibility. International Journal of Advertising, 39(7), 892-920.
  • Hu, Y. H. ve Chen, K. (2016). Predicting hotel review helpfulness: The impact of review visibility and interaction between hotel stars and review ratings. International Journal of Information Management, 36(2016): 929–944.
  • İslamoğlu, A. H. ve Alnıaçık, Ü. (2019). Sosyal Bilimlerde Araştırma Yöntemleri (6.Baskı). İstanbul: Beta Basım A. Ş.
  • Kontis, A. P. ve Skoultsos, S. (2022). Digital evolution in tourism marketing channels: Greek tourism industry and online travel agencies. European Journal of Tourism Research, 30(3004), 1–17. https://doi.org/10.54055/EJTR.V30I.2591
  • Khorsand, R., Rafiee, M. ve Kayvanfar, V. (2020). Insights into tripadvisor's online reviews: the case of tehran's hotels. Tourism Management Perspectives, 34, 100673. https://doi.org/10.1016/j.tmp.2020.100673
  • Kutner, M. H., Nachtsheim, C. J., Neter, J. ve Li, W. (2004). Applied linear statistical models (5th ed.). McGraw-Hill.
  • Kültür ve Turizm Bakanlığı (2024). Bakanlık Belgeli Tesis İstatistikleri, Erişim Tarihi: 10.12.2024, Link: https://yigm.ktb.gov.tr/TR-201136/bakanlik-belgeli-tesis-istatistikleri.html
  • Lee, P. J., Hu, Y. H. ve Lu, K. T. (2018). Assessing the helpfulness of online hotel reviews: A classification-based approach. Telematics and Informatics, 35(2018), 436–445.
  • Liang, W. J. (2013). Antecedents of Travellers' eWOM Communication. (Unpublished Doctoral thesis), Facuity of Business, Oxford Brookes University.
  • Liu, Y., Teichert, T., Rossi, M., Li, H. ve Hu, F. (2017). Big data for big insights: investigating language-specific drivers of hotel satisfaction with 412,784 user-generated reviews. Tourism Management (59), 554-563.
  • Liu, Z. ve Park, S. (2015). What Makes a Useful Online Review? Implication for Travel Product Websites. Tourism Management, 47(2015), 140-151.
  • Mancı, A. R. ve Tengilimoğlu, E. (2021). TripAdvisor ziyaretçi yorumlarının içerik analizi: Göbeklitepe örneği. Türk Turizm Araştırmaları Dergisi, 5(2), 1525-1545.
  • Manolitzas, P., Glaveli, Ν., Παλαμάς, Σ., Talias, Μ. A. ve Grigoroudis, E. (2021). Hotel guests’ demanding level and importance of attribute satisfaction ratings: an application of multiplecriteria satisfaction analysis on tripadvisor’s hotel guests ratings. Current Issues in Tourism, 25(8), 1203-1208. https://doi.org/10.1080/13683500.2021.1915253
  • Muneta, A., Elena, M. ve Andrea, O. L. (2013). ICT Impact on tourism industry. International Journal of Management Cases, 15(2), 87–98.
  • Nicolau, J. L., Mellinas, J. P. ve Martín-Fuentes, E. (2020). Satisfaction measures with monetary and non-monetary components: hotel’s overall scores. International Journal of Hospitality Management, 87, 102497. https://doi.org/10.1016/j.ijhm.2020.102497
  • Nieto-Garcia, M., Resce, G., Ishizaka, A., Occhiocupo, N. ve Viglia, G. (2019). The dimensions of hotel customer ratings that boost revpar. International Journal of Hospitality Management, (77), 583-592.
  • Nusair, K. ve Parsa, H. G. (2011). Introducing flow theory to explain the interactive online shopping experience in a travel context. International Journal of Hospitality Tourism Administration, (121), 1–20.
  • Rhee, H. T. ve Yang, S. B. (2015). Does hotel attribute importance differ by hotel? Focusing on hotel star-classifications and customers’ overall ratings. Computers in Human Behavior, (50), 576–587. https://doi.org/10.1016/j.chb.2015.02.069.
  • Schuckert, M. Liu, X. ve Law, R. (2015). Hospitality and tourism online reviews: recent trends and future directions. Journal of Travel and Tourism Marketing, 32(5), 608-621.
  • Sparks, B.A. ve Bradley, G.L. A. (2017). Triple A” typology of responding to negative consumer-generated online reviews. Journal of Hospitality Tourism Research. 2017(41), 719–745.
  • Stringam, B. B. ve Gerdes, J. Jr., (2010). An analysis of word-of-mouse ratings and guest comments of online hotel distribution sites. Journal of Hospitality Marketing & Management, 19(7), 773–796.
  • Şahin, İ., Gülmez, M. ve Kitapçı, O. (2017). E-complaint tracking and online problem-solving strategies in hospitality management. Journal of Hospitality and Tourism Technology, 8(3), 372-394. https://doi.org/10.1108/jhtt-02-2017-0009
  • Tabachnick, B. G. ve Fidell, L. S. (2007). Using Multivariate Statistics (5th ed.). Pearson, Allyn & Bacon.
  • Tengilimoğlu, E. ve Hassan, A. (2020). Applying flow theory to the online booking experience: The role of utilitarian and hedonic features. Journal of Tourismology, 1–12. https://doi.org/10.26650/jot.2020.6.1.0010
  • Tengilimoğlu, E. ve Öztürk, Y. (2021). Gezi ve i̇ş amaçlı seyahatlerde fiyat adaleti ve tüketim duygularının olumlu yorum yapma niyeti üzerine etkisi. Turk Turizm Arastirmalari Dergisi, 5(3), 1815-1832. https://doi.org/10.26677/tr1010.2021.821
  • Tengilimoğlu, E. (2024). The healing power of forgiveness: how failure severity moderates the effect of emotions on forgiveness and behavioural intentions. Journal of Tourismology, 10(2), 182-194. https://doi.org/10.26650/jot.2024.10.2.1544161
  • Tengilimoğlu, E. ve Öztürk, Y. (2024). The effects of ewom triggered service recovery on customer citizenship behavior in the hospitality industry: the moderating role of failure severity. International Journal of Tourism Research, 26(4). https://doi.org/10.1002/jtr.2673
  • Topal, M., Eyduran, E., Yağanoğlu, A. M. ve Sönmez, A. (2013). Çoklu doğrusal bağlantı durumunda ridge ve temel bileşenler regresyon analiz yöntemlerinin kullanımı. Atatürk Üniversitesi Ziraat Fakültesi Dergisi, 41(1), 53-57.
  • Tran, L. T. T. (2020). Online reviews and purchase intention: A cosmopolitanism perspective. Tourism Management Perspectives, 35(2020), 1–13. https://doi.org/10.1016/J.TMP.2020.100722
  • TripAdvisor (2016). “TripBarometer, Traveler Trends & Motivations Global Findings”.
  • Tsao, W. C. (2018). Star power: The effect of star rating on service recovery in the hotel industry. International Journal of Contemporary Hospitality Management, 30(2), 1092–1111. https://doi.org/10.1108/IJCHM-05-2016-0247
  • Wong, C. U. I. ve Qi, S. (2017). Tracking the evolution of a destination's image by text mining online reviews: The case of Macau. Tourism Management Perspectives, 23(2017), 19–29. https://doi.org/10.1016/j.tmp.2017.03.009
  • Wong, E. Y., Rasoolimanesh, S. M. ve Sharif, S. P. (2020). Using online travel agent platforms to determine factors influencing hotel guest satisfaction. Journal of Hospitality and Tourism Technology, 11(3), 425-445. https://doi.org/10.1108/jhtt-07-2019-0099
  • World Tourism Organization (2014). Online Guest Reviews and Hotel Classification Systems An Integrated Approach. URL: http://europe.unwto.org/publication/on-line-guest-reviews-and-hotel-classification-systems-integrated-approach
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Details

Primary Language Turkish
Subjects Tourism (Other)
Journal Section Research Article
Authors

Engin Tengilimoğlu 0000-0001-7080-6147

Early Pub Date March 25, 2025
Publication Date March 27, 2025
Submission Date January 9, 2025
Acceptance Date March 13, 2025
Published in Issue Year 2025 Volume: 22 Issue: 1

Cite

APA Tengilimoğlu, E. (2025). Çevrimiçi Puanlamaların Tavsiye Niyeti Üzerindeki Etkisi: Konaklama İşletmeleri Üzerine Bir Çalışma. Seyahat Ve Otel İşletmeciliği Dergisi, 22(1), 253-269. https://doi.org/10.24010/soid.1616329

Seyahat ve Otel İşletmeciliği (Journal of Travel Business) is licensed under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).

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